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Data Science & Analysis - AI Training - Manchester, UK

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Prolific

2d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Manchester
    Remote

AI generated summary

  • You need a degree in a quantitative field, real-world data analysis experience, strong problem-solving skills, LLM fluency, and effective communication abilities. A PayPal account is required.
  • You will evaluate AI insights, fact-check claims, validate code outputs, annotate model performance, and ensure alignment with guidelines while upholding technical standards.

Requirements

  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients

Responsibilities

  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.

FAQs

Is this position remote or in-person?

This position allows for remote work, providing flexibility in hours and location.

What level of education is required for this role?

A BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field is required.

What kind of professional experience do I need?

You should have real-world experience in data analysis, predictive modeling, or machine learning engineering.

What technical skills are necessary for this job?

Proficiency in Python or R, advanced SQL for data querying, experience with data visualization tools, and a deep understanding of machine learning frameworks are required.

What will my primary responsibilities involve?

Your responsibilities will include evaluating AI-generated insights, fact-checking technical claims, validating code outputs, annotating model performance, and ensuring alignment with system guidelines.

How much can I expect to earn in this role?

Researchers typically pay up to $80 per hour for your expertise, with tasks generally requiring one hour of uninterrupted work, though many tasks are shorter.

Is experience with LLMs necessary for this position?

Yes, significant experience using Large Language Models (LLMs) and a clear understanding of their limitations are essential.

What tools will I use in this role?

You'll use programming languages like Python (with libraries such as Pandas and Scikit-learn), R, SQL, and data visualization tools like Tableau or PowerBI.

How do I apply for this position?

You need to complete a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you will be invited to join Prolific as a participant.

Do I need a specific payment method for compensation?

Yes, you will need a PayPal account to receive payment from our clients.

What does the application process include?

The application process involves completing an assessment test to evaluate your skills, after which you can join Prolific as a participant if successful.

What societal impact does Prolific aim to achieve?

Prolific aims to integrate diverse human perspectives and behaviors into AI development, creating more accurate and aligned AI systems through high-quality, ethically sourced human data.

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Prolific

We're connecting people around the world to make trustworthy data more accessible and facilitate world-changing research

Education
Industry
51-200
Employees
2014
Founded Year

Mission & Purpose

Prolific (www.prolific.co) is changing how research on the internet is done. We started by building a marketplace that connects researchers (from both Academia and industry) with instant, high quality, global research participants. Now, as a growing team, the bigger vision is to build the most powerful and trusted platform for behavioral research. Quantitative and qualitative researchers, data scientists, and entrepreneurs all need valid and reliable data sources to make predictions about human behaviour and social change. Thanks to our online platform, researchers collect responses fast and participants earn cash rewards for themselves or for charity. It takes 5 minutes to start data collection, there's no middleman, and the product easily integrates with any survey software. In a world of unreliable results, Prolific makes data trustworthy and connects the public with science.